Abstract
Energy harvesting wireless networks is one of the most researched topics in this decade, both in industry and academia, as it can offer self-sustaining sensor networks. With RF energy harvesting (RF-EH) embedded, the sensors can operate for extended periods by harvesting energy from the environment or by receiving it as an Energy signal from a hybrid base station (HBS). Thus, providing sustainable solutions for managing massive numbers of sensor nodes. However, the biggest hurdle of RF energy is the low energy density due to spreading loss. This paper investigates the RF-EH node hardware and design essentials, performance matrices of RF-EH. Power management in energy harvesting nodes is discussed. Furthermore, an information criticality algorithm is proposed for critical and hazardous use cases. Finally, some of the RF-EH applications and the opportunities of 5G technologies for the RF-EH are introduced.
Highlights
The spread of wireless networks and the increasing number of wireless-enabled nodes exacerbated the burden on the power grid by dragging more energy from the grid[1]
3.1.2 Rectifier and Voltage Multiplier Knowing the alternating nature of the RF signal, the Received RF energy from the antenna must be converted to a Direct current (DC) in order to store it in an energy storage unit such as a supercapacitor or a battery
RF energy harvesting (RF-Energy Harvesting (EH)) harvesting presents a real value in powering self-sustaining wireless networks by eliminating the need for conventional energy supply methods
Summary
The spread of wireless networks and the increasing number of wireless-enabled nodes exacerbated the burden on the power grid by dragging more energy from the grid[1]. Wireless energy harvester extracts both information and power from the received signal. The first category assumes that the receiver can simultaneously harvest and extract information from the received signal[15] using the same circuit. This category's feasibility is in question, as there is no practical hardware implementation that can extract information and energy at the same time[16].
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